Assist. Prof. Dr. Congshan Li | Innovative leadership | Best Researcher Award

Assist. Prof. Dr. Congshan Li | Innovative leadership | Best Researcher Award

Zhengzhou University of Light Industry | China

Author Profile

Scopus

Education

Li’s academic journey began with a Bachelor of Science degree in Physics from Tangshan Normal University in 2009, where he studied under the supervision of Jing Chen. He advanced to Sichuan University, earning his Master of Engineering in Electric Power System and Automation in 2011, and continued at the same institution for his doctoral studies, completing a Ph.D. in the same field in 2014 under the mentorship of Professor Tianqi Liu. This rigorous academic foundation has equipped him with the theoretical and practical skills essential for tackling complex power system issues.

Professional Experience

Since completing his doctoral studies, Congshan Li has been an active faculty member at Zhengzhou University of Light Industry, contributing both to research and to the development of future engineers. As an instructor, he has taught core undergraduate and graduate courses such as Relay Protection of Power System, New Energy Power Generation and Control Technology, and Power System Comprehensive Practice. His consistent involvement in teaching these vital subjects underscores his dedication to academic excellence and mentorship.

Research Interests

Li’s research primarily revolves around the stability analysis and control of multi-terminal flexible DC transmission systems, particularly those incorporating wind and solar energy. His work addresses the challenges of integrating fluctuating renewable energy sources into the grid through advanced control strategies. His expertise extends to multi-level coordinated frequency control, optimal control strategies for HVDC systems, and protection technologies in AC/DC interconnected networks. His contributions are at the forefront of ensuring the reliability of modern power systems in the face of increasing renewable penetration.

Awards and Funded Projects

Li has led multiple prestigious research projects. Notably, he served as the Principal Investigator (PI) for a project funded by the National Natural Science Foundation (2017–2019), receiving ¥230,000 for work on Optimal Control Place Excavation and Multifunction DC Modulation of Multi-Terminal VSC-HVDC Systems. Additionally, he currently leads a Key Scientific and Technological Project of Henan Province (2025–2026), with a grant of ¥100,000, focusing on Multi-Level Coordinated Frequency Control of AC/DC Interconnection Systems with Multiple Types of New Energy. These competitive projects highlight his capability in addressing nationally relevant energy challenges.

Notable Publications

Coordination Design of PSS and STATCOM Based on the IDBO Algorithm to Improve Small-Signal Stability of Wind-PV-Thermal-Bundled Power System

Authors: Congshan Li, et al.
Journal: Journal of Energy Engineering
Year: 2025

Research on Voltage Droop Control Strategy with Additional DC Voltage for VSC-MTDC without DC Voltage Static Deviation

Authors: Congshan Li, et al.
Journal: Journal of Electrical Engineering and Technology
Year: 2025

 Short-Term Load Forecasting Based on CNN-BiLSTM Considering Load Time-Varying Trend Mapping

Authors: Congshan Li, et al.
Journal: Recent Advances in Electrical and Electronic Engineering
Year: 2025

Multi-Area System Frequency Response Modelling Considering VSG-Based Energy Storage

Authors: Congshan Li, et al.
Journal: IET Generation, Transmission and Distribution
Year: 2025

 The Influence of Additional Virtual Synchronous Generator Technology in VSC-MTDC Systems with Wind Power on System Frequency

Authors: Congshan Li, et al.
Journal: Recent Patents on Engineering
Year: 2025

Dr. Xin Hu | Innovative leadership | Best Researcher Award

Dr. Xin Hu | Innovative leadership | Best Researcher Award

Chang’an University, China

Xin Hu is a rapidly emerging academic voice in the field of computer vision, multimodal learning, and few-shot learning, currently serving as a Lecturer at the School of Data Science and Artificial Intelligence, Chang’an University, China. With a strong research background in diagram understanding and cross-modal information retrieval, Xin Hu is recognized for bridging the gap between image recognition and language understanding, particularly in educational and knowledge representation contexts. His innovative methodologies address real-world challenges where data scarcity, particularly in educational visual content, hinders effective AI interpretation and deployment. As a researcher with diverse interdisciplinary collaborations, Xin Hu’s work stands at the intersection of artificial intelligence, education technology, and cognitive computing.

Author Profile

ORCID

Education

Xin Hu completed his Bachelor of Engineering in Digital Media Technology and later a Master’s in Computer Technology at Xi’an Shiyou University. He further pursued and earned a Ph.D. in Computer Science and Technology from Xi’an Jiaotong University under the mentorship of Professor Jun Liu. Throughout his academic training, Xin Hu developed foundational skills in artificial intelligence, multimodal signal processing, and machine learning, with a specific focus on visual and linguistic data fusion, eventually applying these to real-world educational datasets and semantic tasks.

Experience

Xin Hu began his formal research journey in 2018 as a Ph.D. candidate, where he contributed to cutting-edge projects under China’s National Key Research and Development Program. He was actively engaged in two major national projects centered on big data knowledge engineering and educational data analysis. These projects aimed to enhance semantic retrieval and intelligent knowledge visualization, particularly in education. His role spanned from system architecture to guiding junior researchers and developing novel few-shot learning frameworks. By late 2023, Xin Hu had joined Chang’an University as a full-time Lecturer, where he continues to explore advanced multimodal learning models with practical educational applications.

Research Interests

Xin Hu’s primary research interests lie in computer vision, particularly few-shot learning, multimodal learning, and visual-linguistic matching tasks. He has demonstrated a unique ability to develop models that operate under limited supervision, focusing on diagrammatic content—an area often overlooked in mainstream AI research. His cross-modal attention frameworks and gestalt-perception-based approaches enable AI systems to better interpret complex visual content, such as diagrams in educational settings. His work in few-shot diagram-sentence matching (Fs-DSM) and gestalt-transformers has further extended AI’s capability to learn from minimal annotated data while preserving semantic integrity.

Awards 

While no standalone awards are explicitly listed, Xin Hu has been a consistent contributor to top-tier journals and conferences including IEEE Transactions on Image Processing, Neural Computation, AAAI, and IJCAI. His works have garnered significant citations, demonstrating academic influence and peer validation. As part of national R&D projects, he has also played a key role in transforming applied AI methodologies into deployable knowledge systems. His presence in IEEE and ACM conferences and workshops shows sustained engagement with the global AI research community.

Notable Publications

LFSRM: Few-Shot Diagram-Sentence Matching via Local-Feedback Self-Regulating Memory

Authors: Lingling Zhang, Wenjun Wu, Jun Liu, Xiaojun Chang, Xin Hu, Yuhui Zheng, Yaqiang Wu, Qinghua Zheng
Journal: IEEE Transactions on Pattern Analysis and Machine Intelligence
Year: 2025

Hierarchy-Based Diagram-Sentence Matching on Dual-Modal Graphs

Authors: Wenjun Wu, Lingling Zhang, Jun Liu, Ming Ren, Xin Hu, Jiaxin Wang, Qianying Wang
Journal: Pattern Recognition
Year: 2025

SKFormer: Diagram Captioning via Self-Knowledge Enhanced Multi-Modal Transformer

Authors: Xin Hu, Jiaxin Wang, Tao Gao
Journal: Signal Processing
Year: 2025

Alignment Relation is What You Need for Diagram Parsing

Authors: Xinyu Zhang, Lingling Zhang, Xin Hu, Jun Liu, Shaowei Wang, Qianying Wang
Journal: IEEE Transactions on Image Processing
Year: 2024

Contrastive Graph Representations for Logical Formulas Embedding

Authors: Qika Lin, Jun Liu, Lingling Zhang, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng
Journal: IEEE Transactions on Knowledge and Data Engineering
Year: 2023

Assoc Prof Dr. RIZWAN QAISAR DANISH | Performance Management | Best Researcher Award

Assoc Prof Dr. RIZWAN QAISAR DANISH | Performance Management | Best Researcher Award

IBA, University of the Punjab, Lahore, Pakistan

Author Profile

Google Scholar

Early Academic Pursuits 📚

Dr. Rizwan Qaiser Danish’s academic journey is a testament to his dedication and passion for knowledge in the field of management. His educational trajectory began with a strong foundation in business and management studies, obtaining his Master of Business Administration (MBA) from Shah Abdul Latif University, Sindh, in 2004, where he achieved a remarkable CGPA of 3.76. This early success in his MBA laid the groundwork for his future academic and professional contributions.

Further honing his expertise, Dr. Danish pursued an MS in Management from COMSATS Institute of Information Technology (IT), Lahore, in 2008, where he achieved a respectable CGPA of 3.00. This phase marked the beginning of his deeper exploration into organizational dynamics and human resource management (HRM), areas that would shape his later research pursuits. Dr. Danish’s pursuit of knowledge did not stop there. His academic trajectory continued to rise as he achieved a PhD in Management (specializing in Human Resource Management) from COMSATS Institute of IT, Lahore, in 2015, with a CGPA of 3.55. The focus of his doctoral research was on the perceptions of organizational politics and its impact on employees’ performance in Pakistani workplaces, providing valuable insights into the intersection of organizational behavior and human resource practices.

Professional Endeavors 💼

Dr. Danish’s professional career has been as dynamic as his academic pursuits. He embarked on his career as an educator and researcher, using his knowledge to shape future leaders and professionals in the field of business management. His teaching expertise spans various subjects, including Organizational Behavior, Human Resource Management, Change Management, Performance Management, and Strategic Management at both graduate and postgraduate levels. This breadth of knowledge and teaching experience has allowed him to influence and mentor a significant number of students throughout his career.

In addition to his teaching role, Dr. Danish has been deeply involved in research, both in academic institutions and in collaboration with various organizations. His involvement as a Research Fellow at the Centre of Research Excellence and Incubation Management at UniSZA in Malaysia, which he joined in June 2024, further demonstrates his commitment to the advancement of research and innovation in the field of management. His postdoctoral fellowship at the prestigious Queensland University of Technology in Australia (2022-2023) allowed him to refine his expertise in areas of corporate social responsibility (CSR), green practices, and sustainable business performance, showcasing his commitment to addressing contemporary challenges in management.

Contributions and Research Focus 🔍

Dr. Rizwan Danish has made significant contributions to the understanding of organizational dynamics, HRM, and employee performance. His research work focuses on the complexities of organizational politics, motivation, and employee performance, especially in the context of Pakistan. His MS thesis explored the link between perceived organizational politics and work performance, setting the stage for his future research endeavors. His PhD thesis, titled “Perceptions of Organizational Politics and Employees’ Performance: An Integrative Model of Pakistani Worksites,” extended this focus, offering an integrative model that is now widely cited in the field.

Dr. Danish has also conducted research on topics such as reward and recognition, leadership spirituality, job satisfaction, and organizational commitment, with a focus on public and private sector organizations. His postdoctoral research project, which examines the impact of CSR, green practices, and organizational politics on sustainable business performance, reflects his dedication to bridging the gap between management practices and environmental sustainability. Furthermore, his involvement in mentoring more than 250 MPhil and PhD scholars demonstrates his active engagement in shaping the next generation of researchers.

Accolades and Recognition 🏆

Dr. Rizwan Qaiser Danish’s research contributions have been widely recognized within the academic community. With over 6,600 citations, an h-index of 34, and an i10-index of 78, his work has made a lasting impact on the field of management. His ResearchGate profile further attests to his scholarly influence, and his publications in high-impact journals demonstrate the relevance and significance of his research. His work is not only recognized in academic circles but also holds practical implications for businesses seeking to improve organizational performance and employee well-being.

In addition to his academic success, Dr. Danish’s leadership and mentorship in supervising numerous theses and dissertations have earned him respect from colleagues and students alike. He has supervised 11 PhD scholars who have successfully defended their theses, and many others are in the process of completing their research under his guidance. His role as a mentor has played a crucial part in advancing knowledge in the management field.

Impact and Influence 🌍

Dr. Danish’s work has had a profound impact on both the academic community and the business world. His research on organizational politics, CSR, and sustainable business practices has provided organizations with valuable insights into how they can improve employee performance and implement more effective management strategies. His research projects, such as the study of organizational politics in Pakistani workplaces, offer practical solutions that address cultural and organizational challenges in a regional context. This has made his work particularly valuable in shaping HRM policies and practices in Pakistan and beyond.

Dr. Danish’s influence extends to his students and research scholars, many of whom have gone on to make significant contributions in academia and industry. His teachings on subjects such as leadership, team building, and organizational behavior have equipped students with the tools they need to succeed in the competitive world of business management.

Legacy and Future Contributions 🔮

As Dr. Danish continues his career, his contributions to the field of management will undoubtedly leave a lasting legacy. His focus on sustainable business practices, CSR, and the intersection of organizational politics with employee performance has positioned him as a leading researcher in the field. Moving forward, his future research endeavors will likely continue to explore the impact of environmental and social factors on business performance, furthering his commitment to creating sustainable solutions for businesses globally.

Dr. Danish’s legacy will not only be measured by his scholarly publications and research contributions but also by the countless students and researchers he has mentored. As he continues to innovate and explore new avenues in management research, his work will continue to inspire and guide the next generation of leaders in business.

 Impact of Reward and Recognition on Job Satisfaction and Motivation: An Empirical Study from Pakistan

Authors: R.Q. Danish, A. Usman
Journal: International Journal of Business and Management
Year: 2010
Volume/Issue: 5(2), Pages 159

Job Satisfaction and Organizational Commitment of University Teachers in Public Sector of Pakistan

Authors: M.E. Malik, S. Nawab, B. Naeem, R.Q. Danish
Journal: International Journal of Business and Management
Year: 2010
Volume/Issue: 5(6), Pages 17

How Corporate Social Responsibility Boosts Firm Financial Performance: The Mediating Role of Corporate Image and Customer Satisfaction

Authors: H.Y. Ali, R.Q. Danish, M. Asrar‐ul‐Haq
Journal: Corporate Social Responsibility and Environmental Management
Year: 2020
Volume/Issue: 27(1), Pages 166–177

 The Impact of Service Quality on Students’ Satisfaction in Higher Education Institutes of Punjab

Authors: A. Usman, R.Q. Danish
Journal: Journal of Management Research
Year: 2010
Volume/Issue: 2(2)

 The Impact of Pay and Promotion on Job Satisfaction: Evidence from Higher Education Institutes of Pakistan

Authors: M.E. Malik, R.Q. Danish, Y. Munir
Journal: American Journal of Economics
Year: 2012